GRC_2016_FIES_v01_EN_M_v01_A_OCS
DDI_GRC_2016_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
GRC_2016_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
GRC_2016_FIES_v01_EN_M_v01_A_OCS
FAO Statistics Division
Nesstar Publisher
FAO Statistics Division
Socio-Economic/Monitoring Survey [hh/sems]
Food Insecurity
SDG
SDGs
Food Access
Greece
National
Individuals
Individuals of 15 years or older.
Sample survey data [ssd]
Last 12 months.
Face-to-face par [f2f]
Statistical validation assesses the quality of the FIES data collected by testing their consistency with the assumptions of the Rasch model. This analysis involves the interpretation of several statistics that reveal 1) items that do not perform well in a given context, 2) cases with highly erratic response patterns, 3) pairs of items that may be redundant, and 4) the proportion of total variance in the population that is accounted for by the measurement model.
As part of the statistical disclosure control process, values for number of children and number of adults that were 10 or above, were recoded as "10+" and categories for area were combined into "urban/suburbs" and "towns/rural".
To use updated computed variables, users should merge the external resource NEW_Computed_Variables_Greece.csv to the original data set through the key Random_ID
The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO.
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
GRC_2016_FIES_v01_EN_M_v01_A_OCS.NSDstat
This dataset contains the variables used to calculate the FIES-based indicator, deomographic variables and some derived variables calculated by FAO from the survey.
1000
23
Nesstar 200801
Unique respondent identifier
1000
0
111271228
210958754
161666994.631
28308964.855
Worried you would not have enough food to eat because of a lack of money or other resources
997
3
0
No
705
1
Yes
292
Sysmiss
3
Unable to eat healthy and nutritious food because of a lack of money or other resources
998
2
0
No
785
1
Yes
213
Sysmiss
2
Ate only a few kinds of foods because of a lack of money or other resources
998
2
0
No
753
1
Yes
245
Sysmiss
2
Skipped a meal because there was not enough money or other resources to get food
998
2
0
No
855
1
Yes
143
Sysmiss
2
Ate less than you thought you should because of a lack of money or other resources
999
1
0
No
836
1
Yes
163
Sysmiss
1
Household ran out of food because of a lack of money or other resources
998
2
0
No
878
1
Yes
120
Sysmiss
2
Hungry but did not eat because there was not enough money or other resources for food?
995
5
0
No
912
1
Yes
83
Sysmiss
5
Went without eating for a whole day because of a lack of money or other resources?
999
1
0
No
964
1
Yes
35
Sysmiss
1
Post-stratification sampling weights
1000
0
0.325
3.036
1
0.604
Year when the GWP was administered in the country
1000
0
1
1
1000
Sysmiss
0
Number of adults 15 years of age and above in household
1000
0
01
01
350
02
02
431
03
03
119
04
04
70
05
05
24
06
06
6
Sysmiss
0
Number of children under 15 years of age in household
993
7
00
00
764
01
01
122
02
02
88
03
03
18
06
06
1
Sysmiss
7
Sum of Affirmative responses to FIES questions
984
16
0
8
1.296
2.264
Estimated person parameters using the Rasch model
984
16
-1.811
2.146
-1.224
1.066
Estimated person parameter errors using the Rasch model
984
16
0.428
0.666
0.607
0.091
Probability of being moderately or severely food insecure
984
16
0
1
0.169
0.339
Probability of being severely food insecure
984
16
0
0.658
0.033
0.129
Age of the respondent
1000
0
15
95
50.491
18.783
Education of the respondent
1000
0
1
Elementary_or_less
228
2
Secondary
606
3
College
166
4
Dont_know
0
5
Refused
0
Sysmiss
0
Area
1000
0
1
Urban/Suburbs
640
2
Towns/Rural
360
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1000
0
1
Male
457
2
Female
543
Sysmiss
0
Income quintile
1000
0
1
Poorest_20%
151
2
Second_20%
169
3
Middle_20%
190
4
Fourth_20%
208
5
Richest_20%
282
Sysmiss
0